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1.
Nucleic Acids Res ; 49(W1): W505-W509, 2021 07 02.
Article in English | MEDLINE | ID: mdl-34060619

ABSTRACT

Prime editing (PE) is a novel CRISPR-derived genome editing technique facilitating precision editing without double-stranded DNA breaks. PE, mediated by a Cas9-reverse transcriptase fusion protein, is based on dual-functioning prime editing guide RNAs (pegRNAs), serving both as guide molecules and as templates carrying the desired edits. Due to such diverse functions, manual pegRNA design is a subject to error and not suited for large-scale setups. Here, we present pegIT, a user-friendly web tool for rapid pegRNA design for numerous user-defined edits, including large-scale setups. pegIT is freely available at https://pegit.giehmlab.dk.


Subject(s)
Gene Editing/methods , Software , CRISPR-Associated Protein 9/genetics , Internet , RNA/chemistry , RNA-Directed DNA Polymerase/genetics , Recombinant Fusion Proteins
2.
Mol Oncol ; 14(9): 1978-1997, 2020 09.
Article in English | MEDLINE | ID: mdl-32585766

ABSTRACT

Diffuse large B-cell lymphoma (DLBCL) is characterized by extensive genetic heterogeneity, and this results in unpredictable responses to the current treatment, R-CHOP, which consists of a cancer drug combination supplemented with the humanized CD20-targeting monoclonal antibody rituximab. Despite improvements in the patient response rate through rituximab addition to the treatment plan, up to 40% of DLBCL patients end in a relapsed or refractory state due to inherent or acquired resistance to the regimen. Here, we employ a lentiviral genome-wide clustered regularly interspaced short palindromic repeats library screening approach to identify genes involved in facilitating the rituximab response in cancerous B cells. Along with the CD20-encoding MS4A1 gene, we identify genes related to B-cell receptor (BCR) signaling as mediators of the intracellular signaling response to rituximab. More specifically, the B-cell linker protein (BLNK) and Bruton's tyrosine kinase (BTK) genes stand out as pivotal genes in facilitating direct rituximab-induced apoptosis through mechanisms that occur alongside complement-dependent cytotoxicity (CDC). Our findings demonstrate that rituximab triggers BCR signaling in a BLNK- and BTK-dependent manner and support the existing notion that intertwined CD20 and BCR signaling pathways in germinal center B-cell-like-subtype DLBCL lead to programmed cell death.


Subject(s)
Agammaglobulinaemia Tyrosine Kinase/genetics , Apoptosis , CRISPR-Cas Systems/genetics , Germinal Center/pathology , Lymphoma, Large B-Cell, Diffuse/drug therapy , Lymphoma, Large B-Cell, Diffuse/genetics , Rituximab/therapeutic use , Adaptor Proteins, Signal Transducing/genetics , Adaptor Proteins, Signal Transducing/metabolism , Agammaglobulinaemia Tyrosine Kinase/metabolism , Alleles , Antigens, CD20/metabolism , Apoptosis/drug effects , Apoptosis/genetics , Cell Line, Tumor , Drug Resistance, Neoplasm/genetics , Germinal Center/drug effects , HEK293 Cells , Humans , Mutation/genetics , Rituximab/pharmacology , Serum/metabolism
3.
Elife ; 52016 06 09.
Article in English | MEDLINE | ID: mdl-27278774

ABSTRACT

Biased integration remains a key challenge for gene therapy based on lentiviral vector technologies. Engineering of next-generation lentiviral vectors targeting safe genomic harbors for insertion is therefore of high relevance. In a previous paper (Cai et al., 2014a), we showed the use of integrase-defective lentiviral vectors (IDLVs) as carriers of complete gene repair kits consisting of zinc-finger nuclease (ZFN) proteins and repair sequences, allowing gene correction by homologous recombination (HR). Here, we follow this strategy to engineer ZFN-loaded IDLVs that insert transgenes by a homology-driven mechanism into safe loci. This insertion mechanism is driven by time-restricted exposure of treated cells to ZFNs. We show targeted gene integration in human stem cells, including CD34(+) hematopoietic progenitors and induced pluripotent stem cells (iPSCs). Notably, targeted insertions are identified in 89% of transduced iPSCs. Our findings demonstrate the applicability of nuclease-loaded 'all-in-one' IDLVs for site-directed gene insertion in stem cell-based gene therapies.


Subject(s)
Gene Targeting/methods , Genetic Therapy/methods , Genetic Vectors , Homologous Recombination , Lentivirus/genetics , Mutagenesis, Insertional , Stem Cells/physiology , Cells, Cultured , DNA Repair Enzymes/genetics , DNA Repair Enzymes/metabolism , Deoxyribonucleases/genetics , Deoxyribonucleases/metabolism , Humans
4.
Nucleic Acids Res ; 43(W1): W349-55, 2015 Jul 01.
Article in English | MEDLINE | ID: mdl-26007650

ABSTRACT

The accurate structural modeling of B- and T-cell receptors is fundamental to gain a detailed insight in the mechanisms underlying immunity and in developing new drugs and therapies. The LYRA (LYmphocyte Receptor Automated modeling) web server (http://www.cbs.dtu.dk/services/LYRA/) implements a complete and automated method for building of B- and T-cell receptor structural models starting from their amino acid sequence alone. The webserver is freely available and easy to use for non-specialists. Upon submission, LYRA automatically generates alignments using ad hoc profiles, predicts the structural class of each hypervariable loop, selects the best templates in an automatic fashion, and provides within minutes a complete 3D model that can be downloaded or inspected online. Experienced users can manually select or exclude template structures according to case specific information. LYRA is based on the canonical structure method, that in the last 30 years has been successfully used to generate antibody models of high accuracy, and in our benchmarks this approach proves to achieve similarly good results on TCR modeling, with a benchmarked average RMSD accuracy of 1.29 and 1.48 Å for B- and T-cell receptors, respectively. To the best of our knowledge, LYRA is the first automated server for the prediction of TCR structure.


Subject(s)
Models, Molecular , Receptors, Antigen, B-Cell/chemistry , Receptors, Antigen, T-Cell/chemistry , Software , Internet , Protein Conformation , Sequence Analysis, Protein
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